Literature DB >> 26319983

Cooperative binding: a multiple personality.

Johannes W R Martini1,2,3, Luis Diambra4, Michael Habeck5,6.   

Abstract

Cooperative binding has been described in many publications and has been related to or defined by several different properties of the binding behavior of the ligand to the target molecule. In addition to the commonly used Hill coefficient, other characteristics such as a sigmoidal shape of the overall titration curve in a linear plot, a change of ligand affinity of the other binding sites when a site of the target molecule becomes occupied, or complex roots of the binding polynomial have been used to define or to quantify cooperative binding. In this work, we analyze how the different properties are related in the most general model for binding curves based on the grand canonical partition function and present several examples which highlight differences between the cooperativity characterizing properties which are discussed. Our results mainly show that among the presented definitions there are not two which fully coincide. Moreover, this work poses the question whether it can make sense to distinguish between positive and negative cooperativity based on the macroscopic binding isotherm only. This article shall emphasize that scientists who investigate cooperative effects in biological systems could help avoiding misunderstandings by stating clearly which kind of cooperativity they discuss.

Keywords:  82B05; 82B20; 92C05; 92C40; 92E99

Mesh:

Substances:

Year:  2015        PMID: 26319983     DOI: 10.1007/s00285-015-0922-z

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  14 in total

1.  A mathematical view on the decoupled sites representation.

Authors:  Johannes W R Martini; G Matthias Ullmann
Journal:  J Math Biol       Date:  2012-02-25       Impact factor: 2.259

2.  Theoretical analysis of the relationship between positive/negative cooperativity and enzyme activation/inhibition.

Authors:  Hao Ge; Min Qian
Journal:  Interdiscip Sci       Date:  2009-08-07       Impact factor: 2.233

3.  Identification of a tertiary interaction important for cooperative ligand binding by the glycine riboswitch.

Authors:  Thanh V Erion; Scott A Strobel
Journal:  RNA       Date:  2010-11-23       Impact factor: 4.942

4.  Structural basis for negative cooperativity in growth factor binding to an EGF receptor.

Authors:  Diego Alvarado; Daryl E Klein; Mark A Lemmon
Journal:  Cell       Date:  2010-08-20       Impact factor: 41.582

5.  An empirical extremum principle for the hill coefficient in ligand-protein interactions showing negative cooperativity.

Authors:  Hagai Abeliovich
Journal:  Biophys J       Date:  2005-04-15       Impact factor: 4.033

6.  What is cooperativity?

Authors:  Christopher A Hunter; Harry L Anderson
Journal:  Angew Chem Int Ed Engl       Date:  2009       Impact factor: 15.336

7.  Coupling of protonation, reduction, and conformational change in azurin from Pseudomonas aeruginosa investigated with free energy measures of cooperativity.

Authors:  R Thomas Ullmann; G Matthias Ullmann
Journal:  J Phys Chem B       Date:  2011-08-05       Impact factor: 2.991

8.  Comparison of the kinetics of different Markov models for ligand binding under varying conditions.

Authors:  Johannes W R Martini; Michael Habeck
Journal:  J Chem Phys       Date:  2015-03-07       Impact factor: 3.488

9.  Cooperative binding of transcription factors promotes bimodal gene expression response.

Authors:  Pablo S Gutierrez; Diana Monteoliva; Luis Diambra
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

10.  Cooperative binding.

Authors:  Melanie I Stefan; Nicolas Le Novère
Journal:  PLoS Comput Biol       Date:  2013-06-27       Impact factor: 4.475

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  3 in total

1.  Decoupled molecules with binding polynomials of bidegree (n, 2).

Authors:  Yue Ren; Johannes W R Martini; Jacinta Torres
Journal:  J Math Biol       Date:  2018-10-03       Impact factor: 2.259

2.  Cooperativity: a competition of definitions.

Authors:  Melanie I Stefan
Journal:  J Math Biol       Date:  2016-10-26       Impact factor: 2.259

3.  Uncovering the molecular and physiological processes of anticancer leads binding human serum albumin: A physical insight into drug efficacy.

Authors:  Chuanbo Liu; Zuojia Liu; Jin Wang
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

  3 in total

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